Spatial prediction of soil organic matter content using multiyear synthetic images and partitioning algorithms

•The performance of bare soil images in different periods to predict soil organic matter (SOM) is different.•The performance of landsat-8 synthetic images in SOM mapping are better than sentinel-2 synthetic images.•The local regression method based on image partition algorithms can improve the accur...

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Vydané v:	Catena (Giessen) Ročník 211; s. 106023
Hlavní autori:	Luo, Chong, Wang, Yiang, Zhang, Xinle, Zhang, Wenqi, Liu, Huanjun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.04.2022
Predmet:	agricultural land algorithms catenas China cloud cover Google Earth Engine Internet Landsat Multiyear synthetic Partitioning prediction regression analysis Soil Organic Matter soil types sustainable development China Partitioning Soil Organic Matter Google Earth Engine Multiyear synthetic
ISSN:	0341-8162, 1872-6887
On-line prístup:	Získať plný text
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